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Update README.md

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Clarified the use case.

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@@ -4,10 +4,10 @@ pipeline_tag: text-generation
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  library_name: transformers
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  ---
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- A model based upon the prompts of all the images in my InvokeAI's output directory. Mostly only positive prompts, though you may catch some words in [] brackets.
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-
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- Note: the prompts are very chaotic; a good way to stress test a model, perhaps?
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  To use this model, you can import it as a pipeline like so:
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  ```py
 
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  library_name: transformers
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  ---
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+ A model based upon the prompts of all the images in my InvokeAI's output directory, meant to be used with InvokeAI (a Stable Diffusion implementation) to generate new, probably wild nightmare images.
 
 
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+ This is mostly trained on positive prompts, though you may catch some words in [] brackets, which will be treated as negative.
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+ GPT-Neo is usually quite good at pairing parenthesis, quotation marks, etc - however, don't be too surprised if it generates something that's note quite InvokeAI prompt syntax.
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  To use this model, you can import it as a pipeline like so:
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  ```py